Hard business problems, solved in production.
We lead your technology decisions, show where AI pays off, build the software that carries your business, and automate the work that slows your team down.
- Inbound documentsEmail, PDFs, scans
- ExtractionLLM to a strict schema
- Confidence checkRules plus scores
- Human reviewOnly the uncertain casesHuman in the loop
- Your business systemsValidated, audited updates
- Web app and APIRole-aware, versioned
- GatewaySSO and rate limits
- Core servicesA modular monolith
- Tenant-isolated dataEnforced in the database
- ObservabilityPer-tenant dashboards
- TriggerTicket, schedule or Slack
- PlannerSteps within a budget
- Scoped toolsLeast-privilege access
- Human gateApproval for risky actionsHuman in the loop
- Run logTrace, cost and outcome
What we do
Three practices. One accountable partner.
Every engagement starts with the same diligence, whichever practice leads: understand the business problem, then build the simplest system that solves it.
Consulting & Fractional CTO
CTO-level leadership when you need it: a fractional CTO, an independent AI strategy, or an architecture call you can trust.
- Fractional CTO / CTO-as-a-service
- Technology and AI roadmaps
- Architecture and build-vs-buy reviews
- AI readiness, evals and cost control
Full-stack & SaaS
Products and platforms engineered to survive real customers and scale without a rewrite.
- MVPs and v1 SaaS products
- Multi-tenant platforms and portals
- APIs and integrations
- Architecture reviews and modernisation
Workflow Automation
Take repetitive, document-heavy work off your team, with people kept in control.
- Document intake and extraction
- Sync between business systems
- Internal agents and assistants
- Review and approval workflows
AI in every practice
AI where it earns its place.
We put AI to work across everything we do: to research and decide, to build, and to run operations. Always measured with evals, and always with a person accountable for the result.
- With AI: minutes of review
- By hand: hours of manual effort
Repetitive document work drops from hours of manual effort to minutes of review.
AI-assisted research and prototyping scores every idea, so you start where value is high and effort is low.
More of every week goes into features your customers notice. Proportions are illustrative.
Why Ridgeline
Most projects stall between the demo and the business.
We start from the business problem and choose the simplest system that solves it. Sometimes that is an LLM. Often it is a better data model or one good integration.
One engineer, end to end
The principal engineer who scopes your project designs it, builds it and stays accountable for it.
Built to run after launch
Evals, logging, failure handling and cost tracking are part of every build, not an upgrade.
Measured in business terms
We agree the number up front, whether hours saved, errors removed or revenue enabled.
You keep the knowledge
Clean code, architecture notes and runbooks, so your team can run everything without us.
Our method
Diagnose. Build. Run.
The same three phases, whichever practice leads. Each one ends with something you can use. See the full approach →
Diagnose
Map the real workflow and prove the idea with a small pilot.
Build
Ship the production system, with evals and monitoring built in.
Run
Monitor, fix and improve it against the metric we agreed.
Questions
Straight answers before the first call.
Do you only work on AI?
No. AI is one tool among several. If a plain integration, a better data model or a small internal tool solves the problem, that is what we recommend, even when it is less glamorous.
How does an engagement start?
With a focused audit and pilot on one high-value workflow. You get a working pilot, a measured baseline and a proposal for the full build before committing to anything larger.
Who owns what you build?
Everything built specifically for your business is delivered with full rights to use and modify it. Reusable tooling we bring, such as connectors and our eval harness, is licensed to you for as long as you run the system.